Alex Betts
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
Papers in
- Co-authors
- Kayla C. King (4 shared papers)Oliver Kaltz (3 shared papers)Michael Hochberg (3 shared papers)R. Craig MacLean (3 shared papers)William R. Harcombe (2 shared papers)Christopher J. Marx (2 shared papers)William J. Riehl (1 shared paper)Gracia Bonilla (1 shared paper)
- Journals
- Veterinary Record (4 papers)The ISME Journal (2 papers)Evolution (2 papers)Cell Reports (1 paper)Science (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Alex Betts
15 papers receiving 1.0k citations
Alex Betts's Hit Papers
Peers
Comparison fields: 5 of 92
- Microbiology 102
- Ecology 372
- Genetics 365
- Molecular Medicine 57
- Aging 19
Countries citing papers authored by Alex Betts
This map shows the geographic impact of Alex Betts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alex Betts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Betts more than expected).
Fields of papers citing papers by Alex Betts
This network shows the impact of papers produced by Alex Betts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alex Betts. The network helps show where Alex Betts may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Betts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics Hit paper breakdown → | 2014 | 372 |
| 2 | 2016 | 130 | |
| 3 | 2018 | 99 | |
| 4 | 2018 | 84 | |
| 5 | 2014 | 80 | |
| 6 | 2013 | 63 | |
| 7 | 2016 | 38 | |
| 8 | 2017 | 37 | |
| 9 | 2016 | 31 | |
| 10 | 2016 | 28 | |
| 11 | 1969 | 25 | |
| 12 | 1969 | 17 | |
| 13 | 1969 | 12 | |
| 14 | Refugee-led responses in the fight against COVID-19: building lasting participatory models | 2020 | 8 |
| 15 | 1969 | 7 |
About Alex Betts
Alex Betts is a scholar working on Genetics, Ecology, Molecular Biology, Microbiology and Sociology and Political Science, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Bacteriophages and microbial interactions (6 papers), Microbial infections and disease research (4 papers), Evolutionary Game Theory and Cooperation (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Animal Virus Infections Studies (2 papers), Insect symbiosis and bacterial influences (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (102 citations), Ecology (372 citations), Genetics (365 citations), Molecular Medicine (57 citations) and Aging (19 citations). Alex Betts has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Kayla C. King, Oliver Kaltz, Michael Hochberg, R. Craig MacLean, William R. Harcombe, Christopher J. Marx, William J. Riehl, Gracia Bonilla, Ilija Dukovski and Nicholas Leiby. Their work appears in journals such as Veterinary Record, The ISME Journal, Evolution, Cell Reports and Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.